Detection: Windows WMI Process Call Create

Description

The following analytic detects the execution of WMI command lines used to create or execute processes. It leverages data from Endpoint Detection and Response (EDR) agents, focusing on command-line events that include specific keywords like "process," "call," and "create." This activity is significant because adversaries often use WMI to execute malicious payloads on local or remote hosts, potentially bypassing traditional security controls. If confirmed malicious, this behavior could allow attackers to execute arbitrary code, escalate privileges, or maintain persistence within the environment, posing a severe threat to organizational security.

Search

1
2| tstats `security_content_summariesonly` count min(_time) as firstTime max(_time) as lastTime from datamodel=Endpoint.Processes where `process_wmic` Processes.process = "* process *" Processes.process = "* call *" Processes.process = "* create *" by Processes.parent_process_name Processes.parent_process Processes.process_name Processes.process Processes.original_file_name Processes.process_id Processes.parent_process_path Processes.process_guid Processes.parent_process_id Processes.dest Processes.user Processes.process_path 
3| `drop_dm_object_name(Processes)` 
4| `security_content_ctime(firstTime)` 
5| `security_content_ctime(lastTime)` 
6| `windows_wmi_process_call_create_filter`

Data Source

Macros Used

Annotations

Default Configuration

This detection is configured by default in Splunk Enterprise Security to run with the following settings:

Implementation

The detection is based on data that originates from Endpoint Detection and Response (EDR) agents. These agents are designed to provide security-related telemetry from the endpoints where the agent is installed. To implement this search, you must ingest logs that contain the process GUID, process name, and parent process. Additionally, you must ingest complete command-line executions. These logs must be processed using the appropriate Splunk Technology Add-ons that are specific to the EDR product. The logs must also be mapped to the Processes node of the Endpoint data model. Use the Splunk Common Information Model (CIM) to normalize the field names and speed up the data modeling process.

Known False Positives

Administrators may execute this command for testing or auditing.

Associated Analytic Story

• CISA AA23-347A

• IcedID

• Qakbot

• Suspicious WMI Use

• Volt Typhoon

Risk Based Analytics (RBA)

References

• https://github.com/NVISOsecurity/sigma-public/blob/master/rules/windows/process_creation/win_susp_wmi_execution.yml

• https://github.com/redcanaryco/atomic-red-team/blob/2b804d25418004a5f1ba50e9dc637946ab8733c7/atomics/T1047/T1047.md

• https://www.microsoft.com/en-us/security/blog/2023/05/24/volt-typhoon-targets-us-critical-infrastructure-with-living-off-the-land-techniques/

• https://thedfirreport.com/2023/05/22/icedid-macro-ends-in-nokoyawa-ransomware/

Detection Testing

Replay any dataset to Splunk Enterprise by using our replay.py tool or the UI. Alternatively you can replay a dataset into a Splunk Attack Range

Source: GitHub | Version: 2